AI-Driven Item Scanning System AIPL-001 Medium Priority

Implementation Details

AI Model Integration

• Implement integration with GPT-4o or similar multimodal LLM
• Develop API wrapper for consistent communication with the LLM
• Implement rate limiting and error handling for API calls

Mobile Image Capture and Processing

• Develop React Native component for capturing high-quality product images
• Implement direct image transmission to LLM
• Create error handling for poor image quality or transmission failures

Prompt Engineering and Response Parsing

• Develop optimized prompts to extract specific product attributes
• Create structured response parsing to extract metadata from LLM responses
• Implement fallback handling for incomplete or uncertain responses

Database Schema Updates

• Extend product database schema to accommodate AI-generated metadata
• Implement versioning for AI-generated content
• Create confidence score fields for each AI-populated attribute

Performance Optimization

• Implement efficient image compression before transmission
• Develop response caching strategies for similar products
• Create background processing for non-critical operations

Technical Dependencies

• GPT-4o or similar multimodal LLM API access
• React Native mobile app framework
• Existing product database
• Image capture capabilities

Real-time AI Content Refinement System AIPL-002 Medium Priority

Implementation Details

Manual Override Interface

• Develop intuitive UI for editing AI-generated content
• Implement field-level override controls
• Create visual indicators for AI vs. human-edited content

Processing System

• Develop debouncing mechanism to prevent excessive API calls
• Create priority queue for processing requests

Quality Assurance Module

• Implement content validation rules
• Create automated tests for content quality

Technical Dependencies

• Existing product content management system
• User authentication and permission system

Integration Points

• Product database system
• User authentication service
• Image storage and processing pipeline
• Search indexing service

Technical Risks and Mitigations

Risk	Impact	Mitigation
LLM API rate limits	High	Implement queuing system and local caching
Image processing latency	Medium	Optimize preprocessing
System scalability under load	Medium	Design for horizontal scaling and load testing